{"id":"W2332713376","doi":"10.1386/mvcr.4.1.55_1","title":"Qiezli – a ‘Self-Absorbed’ creative virtual agent in Second Life","year":2014,"lang":"en","type":"article","venue":"Metaverse Creativity","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001829514,0.0005263311,0.0002890233,0.0004458191,0.001140104,0.00366511,0.001561201,0.001074102,0.008658119],"category_scores_gemma":[0.002980772,0.000215793,0.0003695153,0.0002261138,0.00277837,0.002767451,0.0038459,0.0012888,0.001481677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051608,"about_ca_system_score_gemma":0.0009811377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386127,"about_ca_topic_score_gemma":0.001777275,"domain_scores_codex":[0.9990146,0.0004052183,0.00003555857,0.0001065453,0.0003128016,0.0001251509],"domain_scores_gemma":[0.9992726,0.000244593,0.00004393289,0.0001237807,0.0001018818,0.0002132094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001042111,0.00144008,0.007656661,0.001846294,0.0001068845,0.002573391,0.08786052,0.01956281,0.1524291,0.4321751,0.02624145,0.2670657],"study_design_scores_gemma":[0.0002520417,0.001761115,0.003329682,0.0002517227,0.00007143695,0.001923826,0.009738068,0.04084852,0.04843366,0.0197296,0.8734545,0.0002058374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4574063,0.001042413,0.3184186,0.002133353,0.0006858478,0.001703465,0.0003374623,0.00348124,0.2147913],"genre_scores_gemma":[0.7546433,0.0004156233,0.1683682,0.0005311094,0.00004753192,0.0008224885,0.0004140511,0.0004724749,0.07428528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008658119,"threshold_uncertainty_score":0.02896428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845564133132041,"score_gpt":0.3393537650387167,"score_spread":0.3008981237073963,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}